Seedance 2.5 Image to Video

doubao/seedance-2-5/image-to-video

Bring static moments to life. Seedance 2.5 features exceptional Image-to-Video capabilities, deeply analyzing spatial structures and textures to transform still images into nuanced, natural motion, making every photo the opening scene of a movie.

Examples

Seedance 2.5 Image to Video Examples 1

Parameters

NameTypeDefaultConstraintsDescription
first_frame *First frameimage_upload—image/* · 0–1 itemsThe first frame of the generated video
last_frameLast frameimage_upload—image/* · 0–1 itemsThe last frame of the generated video
promptPrompttextarea——The positive prompt for the generation.
generate_audioGenerate Audiobooleantrue—Enable synchronized audio for generated video
resolutionResolutionselect720p480p | 720p | 1080pVideo Resolution
ratioAspect Ratioselectadaptiveadaptive | 16:9 | 4:3 | 1:1 | 3:4 | 9:16 | 21:9Aspect ratio of the generated video
durationDuration (Seconds)slider54 ~ 30 · step 1Video duration in seconds. Only integer values from 4 to 30 are supported.
return_last_framereturn the last frame boolean——Should the last frame of the generated video be returned?
watermarkAdd Watermarkbooleanfalse—Indicates whether to include a watermark in the generated video.
seedSeednumber-1-1 ~ 4294967295The seed integer is used to control the randomness of the generated content.

Output fields

FieldTypeDescription
videosarray<string>Generated video URL(s).

API

Call this model through one unified REST API. Get a key on the API Keys page.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/doubao/seedance-2-5/image-to-video" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "first_frame": [
      "https://assets-public.namifusion.com/uploads/images/2026-04-10/a947fe8cbbe0.png"
    ],
    "last_frame": [
      "https://assets-public.namifusion.com/uploads/images/2026-04-10/f4234795b42f.png"
    ],
    "prompt": "A cinematic scene of a futuristic city at night, illuminated by neon lights and flying cars.",
    "generate_audio": true,
    "resolution": "720p",
    "ratio": "16:9",
    "duration": 7,
    "watermark": false,
    "seed": -1
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/doubao/seedance-2-5/image-to-video",
    headers=HEADERS,
    json={
        "input": {
            "first_frame": [
                "https://assets-public.namifusion.com/uploads/images/2026-04-10/a947fe8cbbe0.png"
            ],
            "last_frame": [
                "https://assets-public.namifusion.com/uploads/images/2026-04-10/f4234795b42f.png"
            ],
            "prompt": "A cinematic scene of a futuristic city at night, illuminated by neon lights and flying cars.",
            "generate_audio": True,
            "resolution": "720p",
            "ratio": "16:9",
            "duration": 7,
            "watermark": False,
            "seed": -1
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/doubao/seedance-2-5/image-to-video", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "first_frame": [
        "https://assets-public.namifusion.com/uploads/images/2026-04-10/a947fe8cbbe0.png"
      ],
      "last_frame": [
        "https://assets-public.namifusion.com/uploads/images/2026-04-10/f4234795b42f.png"
      ],
      "prompt": "A cinematic scene of a futuristic city at night, illuminated by neon lights and flying cars.",
      "generate_audio": true,
      "resolution": "720p",
      "ratio": "16:9",
      "duration": 7,
      "watermark": false,
      "seed": -1
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

Documentation

Doubao-Seedance 2.5

The "Film Studio in a Model": Precision Control with Multi-Modal Fusion.

Seedance 2.5 is ByteDance's next-generation video generation model, designed to revolutionize the "one-person film studio" workflow. Unlike traditional T2V models, it features a revolutionary Multi-modal Reference System, allowing users to blend up to 12 different inputs (images, videos, and audio) to achieve pixel-perfect control over characters, motion, and rhythm.

🚀 Key Features

  • Multi-modal Fusion: Supports simultaneous input of 30 images + 10 videos + 10 audio clips (up to 50 total) for precise character and scene consistency.
  • Cinematic Quality: High visual fidelity optimized for 480p, 720p and 1080p resolutions, featuring realistic lighting and physics.
  • Audio-Visual Synchronicity: Native support for lip-sync and rhythm matching, automatically aligning visual motion with background music or speech.
  • Exceptional Physical Logic: Advanced simulation of fluid dynamics, gravity, and complex human movements with a 99.5% generation success rate.
  • Pro Camera Control: Direct language-based control over cinematic camera movements (pan, tilt, zoom) and lighting transitions.

🛠️ Technical Specifications

ParameterDetails
Model ArchitectureDiffusion-based Transformer (DiT) / Multi-modal
Max Resolution1080p (Supported: 480p, 720p, 1080p)
Video Duration4 - 30 Seconds (integer)
Aspect Ratios16:9, 9:16, 4:3, 3:4, 21:9, 1:1, adaptive
Input ModalityText, Image (up to 30), Video (up to 10), Audio (up to 10)
Generation Speed~30-90 seconds per clip

Sample Prompts

  • Cinematic: "Rainy city street at night, neon flickering. A man in a black trench coat walks with a red umbrella. Slow dolly-in to a facial close-up. Moody film noir aesthetic."
  • Character Consistency: "Use @Image1 as the character, reference @Video1 for the running motion, and match the tempo of @Audio1."

💰 Pricing (Volcengine API)

Service TypeResolutionPriceEstimated Cost
Video Gen (Input without video)480p/720p$10.70 / 1M Tokens~$0.103/0.231 per second
Video Gen (Input without video)1080p$11.70 / 1M Tokens~$0.569 per second
Video Gen (Input with video)480p/720p$6.40 / 1M Tokens~$0.0616/$0.1382 per second
Video Gen (Input with video)1080p$7.00 / 1M Tokens~$0.340 per second

💡 Best Use Cases

  • E-commerce & Advertising: Rapidly creating high-quality product demos and promotional short videos.
  • Music Videos (MV): Automatically syncing visual transitions and effects to the beat of a song.
  • Social Media Content: Professional-grade storytelling for TikTok/Reels with zero hardware overhead.

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